#nvlm — Public Fediverse posts

#NVIDIA introduces #NVLM 1.0, a family of open-source #multimodal #LLMs:

🏆 Achieves state-of-the-art results on vision-language tasks, competing with #GPT4 and #Llama3V

📊 72B model outperforms on #OCRBench and #VQAv2 benchmarks

📈 Shows improved accuracy on text-only tasks after multimodal training

💻 Excels in #math, #coding, and #reasoning across modalities

🧠 Novel architecture enhances training efficiency and multimodal reasoning

🖼️ Introduces 1-D tile-tagging for improved performance on high-resolution images

🔬 Emphasizes dataset quality and task diversity over scale in training

🔗 Open-sourcing model weights and training code in Megatron-Core

Learn more: https://research.nvidia.com/labs/adlr/NVLM-1/

#NVIDIA introduces #NVLM 1.0, a family of open-source #multimodal #LLMs:

🏆 Achieves state-of-the-art results on vision-language tasks, competing with #GPT4 and #Llama3V

📊 72B model outperforms on #OCRBench and #VQAv2 benchmarks

📈 Shows improved accuracy on text-only tasks after multimodal training

💻 Excels in #math, #coding, and #reasoning across modalities

🧠 Novel architecture enhances training efficiency and multimodal reasoning

🖼️ Introduces 1-D tile-tagging for improved performance on high-resolution images

🔬 Emphasizes dataset quality and task diversity over scale in training

🔗 Open-sourcing model weights and training code in Megatron-Core

Learn more: https://research.nvidia.com/labs/adlr/NVLM-1/

#NVIDIA introduces #NVLM 1.0, a family of open-source #multimodal #LLMs:

🏆 Achieves state-of-the-art results on vision-language tasks, competing with #GPT4 and #Llama3V

📊 72B model outperforms on #OCRBench and #VQAv2 benchmarks

📈 Shows improved accuracy on text-only tasks after multimodal training

💻 Excels in #math, #coding, and #reasoning across modalities

🧠 Novel architecture enhances training efficiency and multimodal reasoning

🖼️ Introduces 1-D tile-tagging for improved performance on high-resolution images

🔬 Emphasizes dataset quality and task diversity over scale in training

🔗 Open-sourcing model weights and training code in Megatron-Core

Learn more: https://research.nvidia.com/labs/adlr/NVLM-1/

#NVIDIA introduces #NVLM 1.0, a family of open-source #multimodal #LLMs:

🏆 Achieves state-of-the-art results on vision-language tasks, competing with #GPT4 and #Llama3V

📊 72B model outperforms on #OCRBench and #VQAv2 benchmarks

📈 Shows improved accuracy on text-only tasks after multimodal training

💻 Excels in #math, #coding, and #reasoning across modalities

🧠 Novel architecture enhances training efficiency and multimodal reasoning

🖼️ Introduces 1-D tile-tagging for improved performance on high-resolution images

🔬 Emphasizes dataset quality and task diversity over scale in training

🔗 Open-sourcing model weights and training code in Megatron-Core

Learn more: https://research.nvidia.com/labs/adlr/NVLM-1/

#NVIDIA introduces #NVLM 1.0, a family of open-source #multimodal #LLMs:

🏆 Achieves state-of-the-art results on vision-language tasks, competing with #GPT4 and #Llama3V

📊 72B model outperforms on #OCRBench and #VQAv2 benchmarks

📈 Shows improved accuracy on text-only tasks after multimodal training

💻 Excels in #math, #coding, and #reasoning across modalities

🧠 Novel architecture enhances training efficiency and multimodal reasoning

🖼️ Introduces 1-D tile-tagging for improved performance on high-resolution images

🔬 Emphasizes dataset quality and task diversity over scale in training

🔗 Open-sourcing model weights and training code in Megatron-Core

Learn more: https://research.nvidia.com/labs/adlr/NVLM-1/